Experimental assessment of grinding bead velocity distributions and stressing conditions in stirred media mills

Böttcher, Ann-Christin; Schilde, Carsten; Kwade, Arno

doi:10.1016/j.apt.2020.12.022

Cited by 17 publications

(5 citation statements)

References 45 publications

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“…where Bk is the positive definite approximation of the Hessian matrix of the Lagrange function, g i (x k ) is the constraint conditions, and ∇F(x k ) T is the transpose of the Jacobian matrix of (2). The optimal value of d k is determined by solving (5), and d k is taken as the search direction of the iterative process and the decreasing direction of the penalty function l l in (6). The iterative step α k is determined by the penalty function l l , x k is the solution at time k and x k+1 is the solution at time k+1, and the optimal solution is iterated by (6).…”

Section: A Magnetic Positioningmentioning

confidence: 99%

“…In general, inertial navigation is a reliable technology for tracking individual particles in opaque dense granular flow systems, through which information such as particle acceleration, angular velocity, and attitude can be obtained [3]. In recent years, magnetic positioning technology has been widely concerned due to its low system complexity and cost [4,5]. The magnetic positioning technology based on permanent magnet can realize the positioning function according to the characteristics of the magnetic field.…”

Section: Introductionmentioning

confidence: 99%

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3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

Dai,

Li,

Wang

et al. 2024

IEEE Access

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Magnetic positioning technology is a novel and direct method to measure the attitude and position information of discrete particles in dense granular flow. However, owing to the need to manually set the initial value and other boundary conditions in the process of algorithm solution, the deviation between the measured results and actual values cannot be ignored. To solve this problem, a hybrid optimization algorithm of particle swarm optimization algorithm and sequential quadratic programming algorithm (PSO-SQP) is proposed in this paper, which combines the advantages of PSO algorithm being insensitive to initial value with the advantages of SQP algorithm being fast and accurate to solve magnetic positioning parameters. The attitude calculated by magnetic positioning and calculated by inertial measurement are fused together through Kalman filter to accurately measure the attitude of discrete particles. The static experiments show that PSO-SQP can solve the position without setting the initial value. Meanwhile, the attitude accuracy is improved by data fusion. Finally, the method is applied to measure the motion of discrete particles in a 3D silo, and it is observed that the method can accurately obtain the information of the spatial position, translational motion, and rotational motion of the discrete particles in the silo. The experimental results reveal the laws of motion of granular flow in the silo, and provide data reference for improving the storage and transportation of particle materials in industrial production process.

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Section: A Magnetic Positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

Dai,

Li,

Wang

et al. 2024

IEEE Access

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“…Таким образом, научной информации по процессу помола суспензий в бисерных мельницах на данный момент собрано крайне мало. Подходы к теоретическому описанию закономерностей работы бисерных мельниц и некоторые данные, полученные при экспериментальных исследованиях рассматриваемого процесса, приведены в работах [1,3,[5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionunclassified

Preparation of fine suspensions using stirred media bead mill

Elinevskaya,

Dzardanov,

Ulybina

et al. 2024

Fine Chem. Technol.

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Objectives. To determine the change patterns for the main physical properties of suspensions after their grinding in bead mills, with the prospect of optimizing the preparation technology and extending the results obtained to other dispersed phases.Methods. The study used the Fraunhofer laser diffraction method to determine particle size. The obtained data on the particle size distribution of suspensions were qualitatively verified by optical microscopy. The Brookfield relative viscosity method was used to evaluate the rheological properties of the resulting suspensions. The density of the resulting suspensions was measured by the hanging method using a calibrated pycnometer.Results. The dependencies of the change in the particle size distribution after grinding in a bead mill were established. The viscosity of the suspensions was observed to increase following grinding. Common regularities of changes in the density of the considered suspensions were established.Conclusions. The conducted studies showed that the physical and mechanical properties of suspensions are affected by the type and the filling ratio of the grinding media; the residence time of the suspension in the grinding chamber; the number of grinding operations; mill designs.

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“…MPT originates from use in the medical field to study the motility tract (Richert et al, 2006). Due to lower costs relative to other tracking systems, MPT has gained more interest for the study of granular flows, in particular for the study of fluidization (Mema et al, 2020;Buist et al, 2014;Yang et al, 2017;Sette et al, 2015;Köhler et al, 2017;Patterson et al, 2010) and rotating equipment such as rotating drums, granulators, shear cells, and mills (Zhang et al, 2018;Neuwirth et al, 2013;Wu et al, 2021;Tao et al, 2019;Böttcher et al, 2021;Nijssen et al, 2022). The particles used in MPT are relatively heavy, which means the applicability of the technique has some limits related to the minimum size and density of the tracer.…”

Section: Introductionmentioning

confidence: 99%